Tabular Data Visualization

Tabular Data Visualization is a method of representing structured data in a visual format that preserves the row-column organization of tables while enhancing readability, pattern recognition, and data interpretation through graphical elements such as color, size, and interactivity.

84

Publications

10.1K

Citations

233

Authors

114

Institutions

Publications per year

2017–2026

28

Authors

233

  1. HW
    Howard Wainer

    Educational Testing Service, United States

    4 publications · 346 citations

    4

    h-index

  2. HS
    Holger Stitz

    Johannes Kepler University of Linz, Austria

    3 publications · 103 citations

    3

    h-index

  3. JF
    Jean‐Daniel Fekete

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 327 citations

    3

    h-index

  4. MS
    Marc Streit

    Johannes Kepler University of Linz, Austria

    3 publications · 103 citations

    3

    h-index

  5. AR
    Aaron Rich

    University of Illinois Urbana-Champaign, United States

    2 publications · 26 citations

    2

    h-index

1–5 of 233

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 15 publications · 1.1K citations

    14

    h-index

  2. Information Visualization

    4 publications · 106 citations

    4

    h-index

  3. F1000Research

    2 publications · 190 citations

    2

    h-index

  4. Bioinformatics

    2 publications · 28 citations

    2

    h-index

  5. 2

    h-index

1–5